Why did Germany and Mercedes-Benz Give the Green Light for L3 Autonomous Driving Together? -Part4

In terms of liability determination, although some car companies have claimed that auto companies should hold responsibility for accidents in the process of autonomous driving, such claims don’t have authority due to the lack of approval from local market laws.

As Germany passed the law to “loosen” the L3 level, the balanced risk distribution among drivers, car owners, and manufacturers formed a three-pillar liability system. The automaker was officially included in the scope of responsibility.

It can be said that in the groping stage of the autonomous driving governance model, not only the German government has actively promoted it, but behind it is Daimler’s active cooperation and active social dialogue.

“Car manufacturers cannot answer all the questions surrounding autonomous driving themselves, including those involving ethics. These must be discussed as part of a wider debate.” Daimler Renata Jungo Brüngger said. In addition to technology, Daimler’s multidisciplinary steering committee has recruited developers and engineers and a team of legal experts specializing in autonomous driving to deal with issues related to law, ethics, and data protection. Indeed, the first mass production and commercialization of L3 in Germany result from the joint promotion of the government and car companies.

Today Daimler and Mercedes-Benz are delighted to become “the world’s first manufacturer in Germany to put conditional autonomous driving into mass production.” which is very important for boosting the confidence of the German automobile industry in the era of intelligent driving. It is not difficult to achieve the L3 level technically, but it is challenging to establish laws and regulations.

Tesla has the technology, but it has reserved a route of retreat itself in the level classification. The A8 launched by Volkswagen Audi that year was initially the first mass-produced model to claim L3 autonomous driving. Still, it finally compromised on the delivery mode and abandoned the attempt of L3’s first production car. Japan’s Honda has also provided a similar solution in a premium model named Legend. We believe that in 2022, there will be more announcements of L3 vehicles, just like China’s GAC Trumpchi announced last year. But mass production is still yet to come.

The German regulatory authorities have taken the lead in the world and have provided references for countries worldwide. It is believed to encourage more countries to promote the era of future transportation. Mercedes-Benz won the first company’s name, and it will also face the world’s onlookers, scrutiny, and strict tests in 2022.

The Industrialization Focus of Autonomous Driving Scenarios: AI Data

2D-3D fusion data:

For example, in order to develope multi-model machine learning algorithms for self-driving cars, some manufacturers need to fuse two distinct data sets with different dimensions. This operation is essential, but it is challenging to perform manually.

AI companies even hope that data companies can better understand algorithm technology and demand scenarios, participate in the research and development of algorithms, and give optimization suggestions on data collection. It has become the focus of data service providers to create competitive advatange as well.

Common Data Labeling Types Include:

• 2D Bounding Boxes
• Lane Marking
• Video tracking annotation
• Point Annotation
• Semantic Segmentation
• 3D Object Recognition
• 3D Segmentation
• Sensor Fusion: Sensor Fusion Cuboids/Sensor Fusion Segmentation/Sensor Fusion Cuboids Tracking

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Source: https://k.sina.cn/article_5140861246_1326b513e001014foi.html?ab=qiche&_rewriteTime=1639319502386&http=fromhttp